Dynamics and Inequalities in Energy Efficiency in China
- 1 Institute of Resource, Environment and Sustainable Development Research, College of Economics, Jinan University, Guangzhou, China
- 2 Institute of Resource, Environment and Sustainable Development Research, College of Economics, Jinan University, Guangzhou, China
Abstract
As rapid economic growth in China in recent decades, the quality of economic growth through improvement of energy efficiency has attracted great attention. This paper evaluated energy efficiency of 29 provinces in China between 2000 and 2016 based on a global non-radial directional distance function. Moreover, the dynamics of energy efficiency were investigated using the non-radial global Malmquist-type efficiency index. The paper also sheds light on the evolution of inequalities in energy efficiency by decomposing interprovincial inequality into its within-region and between-region components. The findings of the study are as follows. First, the national energy efficiency was 0.49 in 2016, which indicated that 51% improvement could be made to reach the global technology frontier. Tianjin, Shanghai, Jiangsu, Shandong and Guangdong had the best energy efficiency in 2016, while Ningxia and Xinjiang had the lowest performance. Second, the national annual growth rate of energy efficiency was 3.4% between 2011 and 2016, which was a positive sign of energy efficiency improvement. Shandong made the biggest improvement in energy efficiency from 2011 to 2016, with 26.2% annual growth rate. Lastly, within-region inequality saw a decreasing trend after 2010 and was overtaken by between-region inequality in 2016.
- British Petroleum (BP) (2018) Statistical Review of World Energy 2018. https://www.bp.com/content/dam/bp/end/corporate/pdf/energy-economics/statistical-review/bp-stats-review-2018-full-report.pdf
- The Chinese Government (2015) Enhanced Actions on Climate Change: China’s Intended Nationally Determined Contributions. http://www.scio.gov.cn/xwfbh/xwbfbh/wqfbh/33978/35364/xgzc35370/Document/1514539/151 4539.htm
- Ang, B.W. (1999) Is the Energy Intensity a Less Useful Indicator than the Carbon Factor in the Study of Climate Change? Energy Policy, 27, 943-946. https://doi.org/10.1016/S0301-4215(99)00084-1
- Sun, J.W. (2005) The Decrease of CO Emission Intensity Is Decarbonization at National and Global Levels. Energy Policy, 33, 975-978. https://doi.org/10.1016/j.enpol.2003.10.023
- Tol, R.S.J., Pacala, S.W. and Socolow, R.H. (2009) Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA. Journal of Policy Modeling, 31, 425-445. https://doi.org/10.2139/ssrn.927741
- Hu, J.-L. and Wang, S.-C. (2006) Total-Factor Energy Efficiency of Regions in China. Energy Policy, 34, 3206-3217. https://doi.org/10.1016/j.enpol.2005.06.015
- Li, K. and Lin, B. (2015) Metafroniter Energy Efficiency with CO 2 Emissions and Its Convergence Analysis for China. Energy Economics, 48, 230-241. https://doi.org/10.1016/j.eneco.2015.01.006
- Wang, H., Zhou, P. and Zhou, D.Q. (2013) Scenario-Based Energy Efficiency and Productivity in China: A Non-Radial Directional Distance Function Analysis. Energy Economics, 40, 795-803. https://doi.org/10.1016/j.eneco.2013.09.030
- Lin, B. and Du, K. (2015) Energy and CO 2 Emissions Performance in China’s Regional Economies: Do Market-Oriented Reforms Matter? Energy Policy, 78, 113-124. https://doi.org/10.1016/j.enpol.2014.12.025
- Yao, X., Zhou, H.C., Zhang, A.Z. and Li, A.J. (2015) Regional Energy Efficiency, Carbon Emission Performance and Technology Gaps in China: A Meta-Frontier Non-Radial Directional Distance Function Analysis. Energy Policy, 84, 142-154. https://doi.org/10.1016/j.enpol.2015.05.001
- Zhang, N., Wang, B. and Chen, Z.F. (2016) Carbon Emissions Reductions and Technology Gaps in the World’s Factory, 1990-2012. Energy Policy, 91, 28-37. https://doi.org/10.1016/j.enpol.2015.12.042
- Chung, Y.H., Färe, R. and Grosskopf, S. (1997) Productivity and Undesirable Outputs: A Directional Distance Function Approach. Journal of Environmental Management, 51, 229-240. https://doi.org/10.1006/jema.1997.0146